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Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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Latest News
Princeton-led team develops AI for fusion plasma monitoring
A new AI software tool for monitoring and controlling the plasma inside nuclear fuel systems has been developed by an international collaboration of scientists from Princeton University, Princeton Plasma Physics Laboratory (PPPL), Chung-Ang University, Columbia University, and Seoul National University. The software, which the researchers call Diag2Diag, is described in the paper, “Multimodal super-resolution: discovering hidden physics and its application to fusion plasmas,” published in Nature Communications.
Alan E. Waltar, Andrew Padilla, Jr.
Nuclear Science and Engineering | Volume 64 | Number 2 | October 1977 | Pages 418-451
Technical Paper | doi.org/10.13182/NSE77-A27381
Articles are hosted by Taylor and Francis Online.
This paper reviews major computer code packages presently utilized or under active development in the U.S. for deterministic liquid-metal fast breeder reactor safety analysis. Although the review covers the very large accident domain from intact predisassembly geometry through radiological consequences, an attempt was made to categorize code systems according to the physical problems solved to provide a working orientation for those not intimately involved in the field. Mathematical and computational aspects were given particular focus in the hope of stimulating development of more efficient numerical approaches in those areas of greatest need.